ArticleJournal of rehabilitation and assistive technologies engineering
Development of the RightWheel manual wheelchair wheel rolling resistance clinical decision support system through iterative clinician interviews.
Article in Journal of rehabilitation and assistive technologies engineering. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
2 citing papers in PubMed.
- Development of the ERATbi App, a Clinical Decision Support System for Early Recovery After Traumatic Brain Injury in the ICU: Usability Study.JMIR human factors · 2026Article
- Drum rolling resistance consistently predicts SmartWheel rolling resistance and resultant force for manual wheelchair wheels and casters.Journal of rehabilitation and assistive technologies engineeringArticle
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Introduction: Manual wheelchair users (MWU) frequently experience upper limb (UL) injury and pain. Clinical practice guidelines (CPG) provide guidance on how to reduce risk of UL injury and pain but the recommendations provide only general advice such as to minimizing repetitive strain by reducing rolling resistance (RR). RR is due to energy loss between wheels and ground during wheelchair propulsion and is a major contributor of repetitive strain for MWUs. Motivated by the recommendation to reduce RR, we developed a clinical decision support system (CDSS) to provide client-specific RR predictions across several wheelchair setups to allow clinicians and users to make informed decisions. Methods: An iterative user-centered design process (mixed methods) recruited ATP certified occupational or physical therapists to suggest modifications, assess usability and usefulness, identify client use cases, and provide rear wheel and caster selection criteria. Results: Six clinicians participated and suggested over 100 modifications. Usability (SUS = 83.8; modified QUIS = 7.5) and perceived usefulness (TAQ = 4.7) were acceptable. Client use cases and rear wheel and caster selection criteria were identified. All clinicians thought it would be a useful tool. Conclusions: RightWheel online CDSS provides user-customized RR estimates for equipment options in an easy-to-understand format, and was deemed ready for pilot launch.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.